Jianpeng Xu1

Email: jianpeng.xu@gmail.com1035 Chamomile Walkway

San Jose, CA, 95133(517) 881-6889

EDUCATIONPh.d Degree, Computer Science and Engineering, Michigan State University (MSU)Fall 2011 - Summer 2017 Advisor: Pang-Ning TanM.S Degree, Computer Science, Harbin Institute of Technology (HIT), ChinaFall 2007 - Spring 2010B.S Degree, Computer Science, Shandong University (SDU), ChinaFall 2003 - Spring 2007

WORK EXPERIENCE

Data Scientist I eBay. Inc August 2016-PresentSan Jose, CA

Optimization, Deals Subsidy, Sales Item Prediction

Research Assistant MSU Fall 2013-PresentEast Lansing, MI

Geospatio-temporal Data Mining, Multi-task Learning/Personalized medical modeling. (Techniquesinclude matrix factorization, regression, online learning, etc.)

Intern Data Scientist Samsung Research America Spring, Summer 2015San Jose, CA

Design recommender system algorithms for Samsung Smart TV. Build TV Ads system, especiallyfor the large-scale data streaming and database support. (Techniques include Hadoop, Spark, Pig,Java, Scala, Python, bash, etc.)

Intern Data Scientist Samsung Research America Summer 2014San Jose, CA

Analysis on user behavior and user demographics using smart TV watching history.

Teaching Assistant MSU Spring 2013East Lansing, MI

Teaching Assistant for the course Computational Techniques for Large-Scale Data Analysis (CSE491/891),covering techniques including Hadoop, Pig, Hive, Mahout, as well as AWS.

Intern Software Engineer Narus Inc Summers 2012Sunnyvale, CA

Develop methods to detect malicious endpoints using data mining techniques, including label prop-agation.

Research Assistant MSU Fall 2011-Fall 2012East Lansing, MI

Land cover and land use change detection using MODIS data.

SELECTED PUBLICATIONS

• Jianpeng Xu. Multi-Task Learning and Its Application to Geospatio-Temporal Data. Ph.DDissertation, Michigan State University, 2017

• Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo. Online Multi-task Learning Frame-work for Ensemble Forecasting. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2017

1CV udpated on January 2, 2018.

• Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo. WISDOM: Weighted Incre-mental Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE BigData 2016(Best Paper Award)

• Kaixiang Lin, Jianpeng Xu, Shuiwang Ji, Jiayu Zhou. Multi-Task Feature Interaction Learn-ing. KDD 2016

• Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan and Jiayu Zhou. Synergies that Matter: EfficientInteraction Selection via Sparse Factorization Machine. SDM 2016

• Jianpeng Xu, Pang-Ning Tan, Lifeng Luo and Jiayu Zhou. GSpartan: a Geospatio-TemporalMulti-task Learning Framework for Multi-location Prediction. SDM 2016

• Jianpeng Xu, Jiayu Zhou and Pang-Ning Tan. Formula: FactORized MUlti-task LeArningfor task discovery in personalized medical models. SDM 2015

• Jianpeng Xu, Pang-Ning Tan and Lifeng Luo. ORION: Online Regularized multI-task re-gressiON and its application to ensemble forecasting. ICDM 2014

• Jianpeng Xu and Shufan Ji. HDminer: Efficient Mining of High Dimensional FrequentClosed Patterns from Dense Data and Its Application. ICDM 2014 workshop on ScalableData Analytics: Theory and Applications

• Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci,Marco Mellia, Detecting Malicious Clients in ISP Networks Using HTTP Connectivity Graphand Flow Information, ASONAM 2014

PATENT

• Sabyasachi Saha, Lei Liu, Ruben Torres, Jianpeng Xu, Antonio Nucci, Detecting MaliciousEndpoints Using Network Connectivity and Flow Information, US8813236 B1, Aug 19, 2014

HONORS AND AWARDSBest Paper Award from IEEE BigData 2016Best Poster Award from Doctoral Forum, SDM 2016Student Travel Award from SDM 2016, SDM 2015, ICDM 2014, IEEE BigData 2016Student Travel Award, MSU Graduate School, 2014Graduate Assistant Support from Michigan State University, Fall 2011-PresentHonorable mentioned in Mathematical Contest in Modeling (MCM), 2006

SERVICES

• PC Member for BIBM 2015, 2016, IJCAI 2015, MLRec 2015, 2016, 2017, BigTraffic 2018,KDD 2018

• Conference External Reviewer for ICDM 2014, 2017, IJCAI 2016, AAAI 2016, SDM 2015,2016, WSDM 2015, DSAA 2015, CIKM 2014, DSAA 2014

• Invited Journal Reviewer for Neurocomputing, BMC Bioinformatics, TNNLS, PatternRecognition, EURASIP

REFERENCESAREAVAILABLE UPON REQUEST